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Quora, Inc. logo

AI Engineer New Grad 2025-2026 - Poe (Remote)

Job Overview

Location

Remote - Multiple Locations

Job Type

Full-time

Category

Machine Learning Engineer

Date Posted

February 24, 2026

Full Job Description

📋 Description

  • Join Quora as an AI Engineer on the cutting edge of artificial intelligence, contributing to the growth of the world's collective intelligence through our innovative Poe platform. As a remote-first company, we offer unparalleled flexibility, allowing you to work from numerous countries around the globe. This is an exceptional opportunity for a recent graduate or soon-to-be graduate to dive into the dynamic field of AI engineering and make a tangible impact.
  • At Quora, we are dedicated to building products that empower users to share knowledge and connect with others. Our mission is to grow the world's collective intelligence, and the Poe platform is at the forefront of this endeavor. Poe provides a unified experience for millions of users to interact with a diverse array of advanced AI language models, including industry leaders like GPT-5.2, Claude Opus 4.5, Grok 4.1, and Veo 3.1, as well as specialized models like Nano Banana Pro (Gemini 3 Pro Image). As AI technology continues its rapid evolution, Poe ensures users have immediate access to the latest and most powerful AI capabilities.
  • The AI Engineering team at Poe is a small, agile, and highly collaborative unit tackling complex challenges daily. We foster a culture of continuous learning, improvement, and experimentation, where engineers are empowered to think ambitiously and explore novel ideas. Our commitment to continuous deployment means that your contributions are rapidly integrated into the product, allowing for swift iterations and immediate feedback. Every engineer on this team plays a crucial role, wielding significant influence over our product's direction and the company's overall success.
  • In this role, you will be instrumental in advancing our applied AI systems, which are integral to various aspects of the Poe product. This includes sophisticated bot and app routing, intelligent recommendation engines, seamless agent workflows, and advanced Retrieval-Augmented Generation (RAG) techniques. You will work closely with talented engineers to refine and enhance these systems, ensuring they are performant, reliable, and scalable.
  • A key aspect of your contribution will be identifying and capitalizing on new opportunities to integrate emerging AI capabilities into the Poe product. This requires a proactive approach to understanding the latest advancements in AI and creatively applying them to solve user needs and unlock new product features. You will be encouraged to experiment with new models and techniques, pushing the boundaries of what's possible.
  • You will take full end-to-end ownership of applied AI systems. This responsibility spans the entire lifecycle, from initial prototyping and conceptualization to developing robust data pipelines, optimizing and evaluating model performance, and ensuring reliable deployment at scale. This holistic approach ensures that the AI systems we build are not only innovative but also practical and sustainable.
  • Your work will directly contribute to building tools and abstractions that empower other developers within Quora to leverage AI more effectively. This foundational work will accelerate innovation across the company, enabling more rapid development of AI-powered features and applications.
  • You will engage in a wide variety of AI engineering tasks, including but not limited to, sophisticated prompt engineering to elicit desired behaviors from LLMs, implementing and optimizing RAG pipelines for enhanced information retrieval, and fine-tuning agentic workflows for more intelligent and autonomous operations. These efforts are crucial for improving the efficacy and user experience of our existing applied AI systems.
  • This role demands a strong engineering foundation, particularly in Python or TypeScript, coupled with a solid understanding of the mathematical underpinnings of machine learning algorithms. Experience with Large Language Models (LLMs) and transformer architectures is essential for success in this position.
  • We are looking for individuals who possess a genuine passion for learning and a relentless drive for self-improvement and team enhancement. If you are eager to contribute to a mission-driven company, work on challenging AI problems, and grow your career in a supportive and innovative environment, this is the perfect opportunity for you.
  • As part of our remote-first culture, you will need to be available for meetings and spontaneous communication during Quora's core coordination hours, which are Monday through Friday, 9 am to 3 pm Pacific Time. This ensures seamless collaboration across our global teams.
  • This position is ideal for a 2025 or Summer 2026 graduate with a Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a closely related technical field. We value diverse perspectives and encourage applications from candidates who may not meet every single preferred qualification but possess a strong passion for our mission.
  • Quora is committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, including those from marginalized or underrepresented groups in tech. We believe that a wide range of perspectives is critical to our success and encourage you to apply if you share our passion for growing the world's knowledge.

Skills & Technologies

Python
TypeScript
Data Science
Remote
$107k-152k

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Quora, Inc.
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About Quora, Inc.

Quora is a U.S.-based social question-and-answer platform founded in 2009. Users post questions, provide answers, and curate content through upvotes and moderation. The service combines a knowledge database with social networking features, relying on community contributions and moderation to maintain quality. Revenue comes primarily from advertising. Headquartered in Mountain View, California, the company operates globally while enforcing English-language norms.

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